Markus P. Rumpfkeil
- Aerospace Engineering top 5%
- Statistics, Probability and Uncertainty top 0.5%
- Computational Theory and Mathematics top 2%
- Computational Mechanics top 5%
- Environmental Engineering top 5%
- Co-authors
- David W. ZinggPhilip BeranWataru YamazakiDimitri J. MavriplisChristopher R. MarksJames J. JooGregory W. ReichRyan Durscher
- Topics
- Probabilistic and Robust Engineering Design (37 papers)Computational Fluid Dynamics and Aerodynamics (28 papers)Advanced Multi-Objective Optimization Algorithms (24 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsAerospace Engineering
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Markus P. Rumpfkeil
67 papers receiving 797 citations
Peers
Comparison fields: 5 of 51
- Aerospace Engineering 346
- Statistics, Probability and Uncertainty 335
- Computational Theory and Mathematics 290
- Computational Mechanics 283
- Environmental Engineering 161
Countries citing papers authored by Markus P. Rumpfkeil
This map shows the geographic impact of Markus P. Rumpfkeil's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus P. Rumpfkeil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus P. Rumpfkeil more than expected).
Fields of papers citing papers by Markus P. Rumpfkeil
This network shows the impact of papers produced by Markus P. Rumpfkeil. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus P. Rumpfkeil. The network helps show where Markus P. Rumpfkeil may publish in the future.
Co-authorship network of co-authors of Markus P. Rumpfkeil
This figure shows the co-authorship network connecting the top 25 collaborators of Markus P. Rumpfkeil. A scholar is included among the top collaborators of Markus P. Rumpfkeil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus P. Rumpfkeil. Markus P. Rumpfkeil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 22 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 17 |
About Markus P. Rumpfkeil
Markus P. Rumpfkeil is a scholar working on Statistics, Probability and Uncertainty, Architecture and Computational Mechanics, having authored 74 papers that have together received 817 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (37 papers), Computational Fluid Dynamics and Aerodynamics (28 papers) and Advanced Multi-Objective Optimization Algorithms (24 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (335 citations), Computational Theory and Mathematics (290 citations) and Aerospace Engineering (346 citations). Markus P. Rumpfkeil has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include David W. Zingg, Philip Beran, Wataru Yamazaki, Dimitri J. Mavriplis, Christopher R. Marks, James J. Joo, Gregory W. Reich, Ryan Durscher, Ryan M. Miller and Robert Wilkens. Their work appears in journals such as International Journal of Heat and Mass Transfer, Energy and AIAA Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.